Data Augmentation With Flickering Backgrounds and Instances for Instance Segmentation

Data augmentation (DA) tailored to instances is vital for instance segmentation to improve model robustness and accuracy without high manual annotation costs. Existing erasing methods risk losing information about instances, whereas instance-level methods necessitate additional overhead, such as an...

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Bibliographic Details
Main Authors: Kisu Lee, Jungeun Kim, Ha Young Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10994429/
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